TOTAL VOLUME:
$154.4b
24H VOL:
$290,393,159
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,944,100,805
420,493
Markets across
40,511
events
MATCHED EVENTS:
4,612
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 11, 9:10 PM EST
Polymarket
In the upcoming Brazil Serie B game between AC Goianiense and SC Recife, scheduled for October 11, 2026 at 3:10 PM ET: This event contains halftime result markets for home, draw, and away outcomes within the first 45 minutes of regular play plus stoppage time.
In the upcoming Brazil Serie B game between AC Goianiense and SC Recife, scheduled for October 11, 2026 at 3:10 PM ET: This event contains halftime result markets for home, draw, and away outcomes within the first 45 minutes of regular play plus stoppage time.
Prediction market odds often reflect the collective wisdom of a diverse group of traders, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set their lines based on statistical models and expert analysis, while this market is driven by individuals willing to put their capital behind their beliefs. Often, you’ll find that prediction markets are more accurate than traditional polls or even sportsbook odds, especially when there's significant public interest. However, sportsbook odds can be a useful benchmark when evaluating the probabilities presented by this market.
This market resolves around Oct 11, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The outcome will be determined by which team, AC Goianiense or SC Recife, is leading at halftime during the match. The official result, as reported by a trusted sports data source, will be used to settle this market. Traders who correctly predicted the halftime leader will receive a payout based on the final share price at resolution.
Several factors could influence the trading activity in this market. Any news regarding player injuries, team lineups, or changes in coaching strategy for either AC Goianiense or SC Recife could significantly shift the probabilities. Unexpected weather conditions at the match location could also play a role, potentially favoring one team over the other. Furthermore, even general sentiment and public perception, driven by social media or sports analysts, can impact trading volume and price movements in this market.